Vlahavas

Results: 51-60 of 322

I. Kavakiotis, A. Triantafyllidis, G. Tsoumakas, I. Vlahavas, “Feature Evaluation Metrics for Population Genomic Data”, Proceedings of 8th Hellenic Conference on Artificial Intelligence (SETN 2014)., A. Likas, K. Blekas and D. Kalles (Eds.), Springer, Artificial intelligence: Methods and Applications, LNCS, 8445, pp. 436-441, Ioannina, Greece, 2014

A. Fachantidis, I. Partalas, M. Taylor, I. Vlahavas, “An Autonomous Transfer Learning Algorithm for TD-Learners”, Proc. 8th Hellenic Conference on Artificial Intelligence (SETN 2014), (in press), Ioannina, Greece, 2014.

Y. Zhan, A. Fachantidis, I. Vlahavas, M. Taylor, “Agents Teaching Humans in Reinforcement Learning Tasks”, Adaptive Learning Agents 2014, (in press), Paris, France, 2014.

P. Bailis, A. Fachantidis, I. Vlahavas, “Learning to play Monopoly: A Reinforcement Learning approach”, AISB 2014: AI & GAMES, (in press), London, U.K., 2014.

A. Fachantidis, I. Partalas, M. Taylor, I. Vlahavas, “Autonomous Selection of Inter-Task Mappings in Transfer Learning”, 2013 AAAI Spring Symposium Series, AAAI, Stanford, U.S.A., 2013.

A. Fachantidis, A. Di Nuovo, A. Cangelosi, I. Vlahavas, “Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform”, Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2013 IEEE SSCI, IEEE, pp. 87-93, Singapore, 2013.

G. Tsoumakas, M. Laliotis, N. Markantonatos, I. Vlahavas, “Large-Scale Semantic Indexing of Biomedical Publications at BioASQ”, BioASQ Workshop, Valencia, Spain, September 27, 2013, 2013.

C. Liaskos, G. Koutitas, I. Vlahavas, “Virtual Laboratories on Wireless Communications: A contemporary, extensible approach”, IEEE EDUCON, IEEE, Morocco, 2012.

E. Spyromitros-Xioufis, S. Papadopoulos, I. Kompatsiaris, G. Tsoumakas, I. Vlahavas, “An empirical study on the combination of surf features with VLAD vectors for image search”, 13th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), IEEE, 2012.

A. Fachantidis, I. Partalas, M. Taylor, I. Vlahavas, “Transfer Learning via Multiple Inter-Task Mappings”, Recent Advances in Reinforcement Learning, Springer Berlin Heidelberg, pp. 225-236, 2012.

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